Big Data & AI Toronto 2019 Program

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1Room 203: Big Data Strategy

  • Track:
    Internal Transformation
  • Industry Session led by the Ontario Teachers Pension Plan

    11:00 am - 11:30 am
    • Jon Hammond Managing Director – Data and Analytics, Enterprise Service Delivery Ontario Teachers' Pension Plan

    $
  • Role of Data in Digital Transformation

    11:30 am - 12:00 pm
    Redefine your data culture for digital transformation
    • Nazia Shahrin Sr. Director - Operations Lead - Business Financial Services Transformation RBC

    $
  • Turbocharge AI Initiatives Across your Enterprise

    12:00 pm - 12:30 pm
    With an End-to-End, Kubernetes-powered Analytics Platform
    • Maciej Mazur Technical Sales Manager - IBM Analytics IBM

    $
  • Networking Lunch

    12:30 pm - 1:30 pm
  • Fast Track AI for Time Series

    1:30 pm - 2:00 pm
    Learn how to take charge of data funnels, rapidly discover insights, and deliver timely value from high velocity data.
    • Bryan Whitmore Chief Field Technologist Vertica

    $
  • Driving Profit with Data-Driven Decisions

    2:00 pm - 2:30 pm
    A retail case study on how analytical approach transformed a business decision process.
    • Igor Wolford Director of Data, Insights and Analytics Loblaws

    $
  • MDM 2.0: A smarter, scalable approach to data centralization

    2:30 pm - 3:00 pm
    The goal: stand up a central source of data, leveraging well-known and reliable patterns, and modern cutting-edge toolsets.
    • Dan Waldner Director of Customer Data Scotiabank

    • Tamr

    $
  • How Not To Build A Data Lake (And Other Tips)

    3:00 pm - 3:30 pm
    Drive value in your organization
    • Avishalom Shalit Head of Data Engineering and Data Science Kik

    • Marco Albuquerque Developer III Kik

    $
  • Networking Break

    3:30 pm - 4:00 pm
  • Future-Proofing Your Tech Workforce

    4:00 pm - 4:30 pm
    • Rob Davidson Manager, Data Analytics And Research Information And Communications Technology Council (ICTC)

  • Ask an Expert: Embracing Cultural Change

    4:30 pm - 5:30 pm
    BYOC: Bring your own case. 1 Hour Q&A with an Industry Expert
    • Rob Davidson Manager, Data Analytics And Research Information And Communications Technology Council (ICTC)

    $
  • Cocktail Reception

    5:30 pm - 7:00 pm

2Room 201F: Big Data Technical

  • Track:
    Analytics
  • MASTERCLASS: SPARK FOR DATA SCIENCE

    9:00 am - 10:00 am
    1-hour skill-based workshop hosted by WeCloud Data
    • Shaohua Zhang Co-Founder WeCloudData

  • Track Keynote: Research Infrastructure at 23andMe

    10:30 am - 11:00 am
    Building Data Solutions for Biology
    • Shiva Amiri Director Research Infrastructure 23andMe 

    $
  • Mastercard: Spring-Clean Your Data Closet Every Day

    11:00 am - 11:30 am
    How to leverage big data for online fraud prevention in real time
    • Don Duncan Director of Business Development, NuData Security, A Mastercard Company

    $
  • Panel: Driving Analytics Success

    11:30 am - 12:15 pm
    The latest innovations and role of data engineering in driving success
    • Angela Van Damme VP, Global Anti-Money Laundering Transformation Scotiabank

    • Emil Protalinski (Moderator) News Editor Venture Beat

    • Laura Manes VP Strategy, Innovation & Enterprise Analytics LCBO

    • Sina Shahandeh VP Data Science Ecobee

    • Susanna Zagar Chief Strategy and Analytics Officer WSIB

    $
  • Networking Lunch

    12:15 pm - 1:15 pm
  • Predictive Analytics

    1:15 pm - 1:45 pm
    Add meaning insights to BI
    • Nikita Medvedev Senior Predictive Analytics Manager Coca-Cola

    $
  • Polaris Intelligence: The Changing Face of Toronto

    1:45 pm - 2:15 pm
    Understanding the changing face of Toronto is a considerable discussion that impacts many business decisions.
    • Michelle Fernandes Senior Vice President Polaris

    $
  • Big Data on the Edge: Real-Time Analytics

    2:15 pm - 2:45 pm
    Finding success with real-time analytics to provide insights faster and more accurate than ever before
    • Irene Zaguskin Chief Operations and Technology Officer The Printing House

    $
  • Powering SnapTravel’s Data Economy with Snowflake

    2:45 pm - 3:15 pm
    Join SnapTravel’s Senior Data & Infrastructure Engineer, Nehil Jain, as he shares his journey of how they built a solid foundation for data to become effective in data-driven business decisions.
    • Nehil Jain Senior Engineer, Data & Infrastructure SnapTravel

    • Snowflake

  • Networking Break

    3:15 pm - 3:45 pm
  • Ask an Expert

    3:45 pm - 4:15 pm
    • Zach Aragosa Data Analyst Looker

    $
  • HR Analytics

    4:15 pm - 4:45 pm
    How big data is used in HR and Employee Health Space
    • Nadeem Fazil Sr. Data Scientist, Enterprise Innovation & Analytics Morneau Shepell

    $
  • MASTERCLASS: Transforming Big Data from On-Premise to the Cloud

    4:45 pm - 5:30 pm
    1-hour skill-based workshop hosted by WeCloud Data
    • Edwin Guo Data Engineer and Cloud Architect WeCloudData

    $
  • Cocktail Reception

    5:30 pm - 7:00 pm

3Room 202: AI Strategy

  • Track:
    Research in Practice
  • Track Keynote: Accelerating your Enterprise Data & AI Transformation

    10:30 am - 11:00 am
    • Sami Ahmed VP, Head of Data, Analytics and AI Transformation BMO

    $
  • Intelligent robots

    11:00 am - 11:30 am
    how grasping technology evolved from simulation to the real world
    • James Bergstra Co-Founder, Head of AI Research Kindred AI

    $
  • Panel: Getting Beyond the [AI] Hype

    11:30 am - 12:15 pm
    Identifying AI Hype from Reality
    • Carolyn Watters Chief Digital Research Officer National Research Council (NRC)

    • Inmar Givoni Senior Autonomy Engineering Manager Uber ATG

    • Naresh Mudunuru AVP Enterprise Machine Learning and Artificial Intelligence TD

    • Sedef Akinli Kocak (Moderator) Project Manager, Industry Innovation Vector Institute

    $
  • Networking Lunch

    12:15 pm - 1:15 pm
  • Scaling Machine Intelligence / The Executive Buy-In Talk

    1:15 pm - 1:45 pm
    You're a data scientist and want to apply narrow machine intelligence. And they don't get it. But why though? Let's examine the why, what, who, when, where and how of scaling machine intelligence, executive buy-in, and your choices.
    • Christopher Berry Director, Product Intelligence CBC

    $
  • Adastra Group: Solving Large-Scale Business Problems with A!x`x

    1:45 pm - 2:15 pm
    • Adastra

    $
  • Applying AI in Vehicle Manufacturing

    2:15 pm - 2:45 pm
    focusing on some prominent challenges with data quality, dynamic and continuously changing data streams, and scalable deployment of models
    • Jean-Christophe Petkovich Chief Technology Officer Acerta

    $
  • How to Pick an AI Project that will Succeed

    2:45 pm - 3:15 pm
    • Jose Quesada CEO AI Deep Dive

  • Networking Break

    3:15 pm - 3:45 pm
  • AI & Finance

    3:45 pm - 4:15 pm
    Lessons from the Big 5
    • Yevgeniy Vahlis Head of AI BMO

    $
  • The Anatomy of Machine Learning Teamwork

    4:15 pm - 4:45 pm
    • Jessica Leung Engineering Manager Wattpad

    $
  • Clinical Applications of Artificial Intelligence and the Automation of Healthcare Delivery.

    4:45 pm - 5:30 pm
    Can healthcare be automated? Or maybe the real question is should it be?
    • Dr. Devin Singh Physician Lead for Clinical AI & Data Science (Division of Pediatric Emerg Medicine) SickKids

    $
  • Cocktail Reception

    5:30 pm - 7:00 pm

4Room 201D: AI Technical

  • Track:
    Cybersecurity
  • Fireside Chat: Emerging Threats through 2020

    10:30 am - 11:00 am
    Looking ahead at the ways new technology create new threats
    • Craig D'Souza Head of Global Investigations, Intelligence & Protective Intelligence Facebook

    • David Newall Director of Cybersecurity Element AI

    $
  • Adapting to Fight Back

    11:00 am - 11:30 am
    How Cyber AI Neutralizes Never-Before-Seen Threats
    • Nabil Zoldjalali Senior Cyber Technology Manager Darktrace

    $
  • An Actionable Guide to Privacy Culture

    11:30 am - 12:00 pm
    Secure Data, Conscientious Employees and a Positive Reputation
    • Helene Beauchemin Legal Counsel Stradigi AI

    $
  • Networking Lunch

    12:00 pm - 1:00 pm
  • Panel: Privacy and Data Security

    1:00 pm - 1:45 pm
    • Alyssa Harvey Dawson General Counsel (Head of Legal, Privacy and Data Governance Sidewalk Labs

    • Catherine Chen (Moderator) Founder & CEO IG Liaison

    • Charlene Cieslik Chief Anti-Money Laundering Officer and Chief Privacy Officer Coinsquare

    • Dean Dolan General Counsel and Chief Privacy Officer Staples

    $
  • Collaborating to increase your Cyber Resilience

    1:45 pm - 2:15 pm
    Making it more Expensive for the Bad Guys
    • Bob Gordon Executive Director Canadian Cyber Threat Exchange (CCTX)

    $
  • Opportunities and Challenges with Big Data and Machine Learning in Global Ad Exchanges

    2:15 pm - 2:45 pm
    Use cases that come with running a real-time auction
    • Brian Hu Director of Data Engineering Index Exchange

    • Paul Zovighian Senior Director, Exchange Optimization Index Exchange

    $
  • Finding Fraud Faster

    2:45 pm - 3:15 pm
    leveraging unsupervised deep learning algorithms to stay ahead of criminal activity
    • Joseph Peter Vice President, Fraud Risk Management Sun Life Financial

    $
  • Networking Break

    3:15 pm - 3:45 pm
  • Record Keeping and Compliance

    3:45 pm - 4:15 pm
    Join Derek Lackey, President of the Direct marketing Association of Cnada and the Managing Director of Newport Thomson as he walks us through the importance of preference centres in today’s business environment.
    $
  • Security for Intelligent Applications

    4:15 pm - 4:45 pm
    The Challenges and Solutions for applications and data security in modern IoT
    • Gabriela Nicolescu CEO Kybersecurity

    $
  • Responding to a Material Cybersecurity Breach

    4:45 pm - 5:30 pm
    What are the main priorities of a security executive when hit by a breach?
    • Ruben D. Chacon VP & CISO Constellation Brands

    $
  • Cocktail Reception

    5:30 pm - 7:00 pm

AI Theatre

  • AI Solutions

    6:00 am - 7:00 am
  • Explainable, Repeatable, Scalable Data Science with Pachyderm

    9:30 am - 10:00 am
    In this session, we’ll explore how one customer’s decision to implement Pachyderm empowered them to transform long-standing data science workflows, in a highly regulated industry, into explainable, repeatable, and scalable pipelines where everything is 100% reproducible.
    • Nick Harvey Lead Developer Advocate Pachyderm

  • How AI is Transforming Customer Experience

    10:00 am - 10:30 am
    Join us to learn how organizations are taking advantage of new breakthroughs in Artificial Intelligence to save money AND improve customer experience with less data, time, and effort.
    • Ying Chen Chief Product Officer Luminoso

  • Networking Break

    10:30 am - 11:15 am
    Networking Break
  • Context-aware Personalized AI chatbot for better customer communication

    11:15 am - 11:45 am
    A demo of 247 Labs' Mason AI chatbot product showing how you can configure intents, actions, contextual environments to create an-AI based chatbot that can engage more personally with your customers and visitors.
    • Azwar Khalid CTO and Software Architect 247 Labs

  • diwo: Closing the gap: Cognitive Decision-Making turns insight into actio

    11:45 am - 12:15 pm
    Despite widespread investment in machine learning solutions, business leaders still face the challenge of making decisions based on the insights generated.
    • Krishna Kallakuri President & Founder Diwo®

  • Lunch Break

    12:15 pm - 12:45 pm
    Lunch Break
  • Quantum Computing: A Realistic Edge for Machine Learning

    12:45 pm - 1:15 pm
    This talk will present a quantum machine learning method, share findings within a FinTech prediction problem using a quantum device, and analyze why quantum computing improves the machine learning model.
    • Prof. Zhepeng (Lionel) Li Chief Science Officer at Qindom; Assistant Professor of Operations Management and Information Systems at Schulich School of Business Qindom

  • Thriving in the Era of Augmented Intelligence with AI

    1:15 pm - 1:45 pm
    Augmenting our intelligence by using appropriate tools and techniques to co-opt and enhance our productivity without losing our human edge over machine
    • Raj Neervannan CTO AlphaSense

  • Turning unstructured documents into structured data with AI: real world lessons in financial services.

    1:45 pm - 2:15 pm
    • Jasper Li Founder & CEO

  • AI with the ultimate in privacy protection.

    2:15 pm - 2:45 pm
    Apply Differential Privacy and Secure Multiparty Computation to protect and access restricted data before using AI.
    • Monica Holboke Co-Founder and CEO/CSO Cryptonumerics

  • Neo4j: Leveraging Graphs for Better AI

    2:45 pm - 3:15 pm
    Today's tech news is littered with buzzwords and acronyms like - ML, AI, big data, smart devices, even graph. What does 'graph' actually provide and mean for technology and business solutions in the artificial intelligence or machine learning space?
    • Jennifer Reif, Developer Relations Engineer Neo4j

  • Purpose, Bias and Ethics in AI: A discussion

    3:15 pm - 3:45 pm
    This talk will discuss the matters of algorithmic bias, and some solutions that implement explainability.
    • Akshay Kalle Chief Technical Officer, The Pathway Group; CTO, Elastic Care Pathway Communications

  • Networking Break

    3:45 pm - 4:00 pm
    Networking Break
  • AI for Citizen Data Scientist

    4:00 pm - 4:30 pm
    Learn from Anand Mahurkar how Findability Sciences is empowering a new breed of Citizen Data Scientists by democratizing AI for business leaders.
    • Anand Mahurkar Founder and Chairman Findability Sciences

  • The Importance of Data and AI in Consumer Lending

    4:30 pm - 5:00 pm
    Take a deep dive into the rapidly changing world of lending, and how AI is helping financial institutions of all sizes manage their mortgage and credit card portfolios.
    • Saroop Bharwani CEO and Co-Founder Senso

  • Cocktail Reception

    5:30 pm - 7:00 pm
    Cocktail Reception

Big Data Theatre

  • Big Data Solutions

    6:00 am - 7:00 am
  • Best Practices for Agile Analytics in the Cloud

    9:30 am - 10:00 am
    This session appeals to anyone expanding or moving their analytic workloads in the cloud to obtain agile yet secure analytics and data science processes.
    • John Morrell Senior Director for Data Science Products Datameer

  • The End of Applications

    10:00 am - 10:30 am
    This presentation is a must-see for anyone working in technology delivery, advanced analytics, data governance, or artificial intelligence.
    • Dan Demers Co-Founder and CEO Cinchy

  • Networking Break

    10:30 am - 11:15 am
    Networking Break
  • Enabling a virtuous circle – turning data into insights via Design Thinking

    11:15 am - 11:45 am
    Empathy starts with yourself, and understanding the problem you are trying to solve
    • Mick Higgins Chief Growth Officer Caddle

  • Unlock Hidden Data Treasures Using Alteryx Designer

    11:45 am - 12:15 pm
    See how you can save time, reduce costs, plus increase productivity and revenue by enabling everyone in your organization to turn data into insights with self-service analytics.
    • Deborah Awe Commercial Sales Engineer Alteryx

  • Lunch Break

    12:15 pm - 12:45 pm
  • Becoming Data Driven in 2019

    12:45 pm - 1:15 pm
    Learn how Label Insights, Axcess Financial Services, and Lime Scooters became more data-driven through data infrastructure reforms.
    • Ethan Lockshin Global Fivetran Evangelist Fivetran

  • Delivering qualified web-based leads to online marketers

    1:15 pm - 1:45 pm
    Mitaa’s Location-based platform bridges physical and digital contexts to provide actional, relevant and timely content. Leverage online behavioral intent to engage anonymous website visitors through hyper-targeted direct mail.
    • Brad King VP Sales & Marketing Mitaa

  • Building A Center of Excellence (CoE) and Measuring the Business Impact

    1:45 pm - 2:15 pm
    A discussion on strategies and tactics that will make an existing CoE more cost effective and successful.
    • Michael Roberts Practice Lead Newcomp Analytics

  • Talend: No AI without Trusted Data

    2:15 pm - 2:45 pm
    Gartner has predicted that through 2022, 85 percent of “AI projects will deliver erroneous outcomes due to bias in data, algorithms, or the teams responsible for managing them.”
    • Aaron Swanson, Vice President Talend Cloud

  • Taming Big Data DevOps with Automation

    2:45 pm - 3:15 pm
    We will explore how to move from Observability (Logging, Monitoring) to DevOps for Big Data.
    • Muji Qadri Senior Solutions Engineer Unravel Data

  • The new manager: The growing need for analytics and AI managers

    3:15 pm - 3:45 pm
    In this session, Dr. Steve Thomas will discuss the talent that organizations need to be successful now and in the future.
    • Dr. Stephen W. Thomas Director, Smith Master of Management of Artificial Intelligence program at Queen’s University Queens University - Smith School Of Business

  • Networking Break

    3:45 pm - 4:00 pm
  • Our Own Cells and What They Will Unlock For the Future of Healthcare.

    4:00 pm - 4:30 pm
    Dr. Taylor will expand on how our own cells are increasingly being used as medical therapies and explain why scientists are really excited by the data they unlock making them key to tackling some of the biggest challenges in medicine.
    • Dr. Drew Taylor PhD, MSc, Co-Founder and CEO, Acorn Biolabs Acorn Biolabs

  • FROM DATA TO DECISIONS

    4:30 pm - 5:00 pm
    5 methods to ensure your data projects successfully deliver business value
    • Patrick Siconolfi Principal & Co-Founder Gensquared

  • Cocktail Reception

    5:30 pm - 7:00 pm
    Cocktail Reception

Theatre 1: Main Stage

  • Accelerate the Future

    6:00 am - 7:00 am
  • Trust: The next frontier for AI

    8:45 am - 9:15 am
    • Mohak Shah VP, AI and Machine Learning LG Electronics

  • Panel: Attract and Retain the Next Generation of Tech Talent

    9:15 am - 10:00 am
    Finding and retaining great talent remains to be one of the biggest challenges for businesses today
    • Deborah Orzel Director, Talent Advisory and National Talent Leader Omnia AI, Deloitte Canada’s Artificial Intelligence Practice

    • Jean-Francois Lessard Vice President and Chief Data Officer Intact - Data Lab

    • Peter Husar Vice President, Analytics Strategy & Planning, Enterprise Data & Analytics TD Bank Group

    • Rob Davidson (Moderator) Manager, Data Analytics And Research Information And Communications Technology Council (ICTC)

  • Networking Break

    10:00 am - 10:30 am
    Networking Break
  • Keynote: The Next Chapter of Digital Reinvention

    10:30 am - 11:00 am
    Moving from experimentation to true business transformation
    • Steven Astorino VP Development, Data and AI, Hybrid Data Management and Canada Lab Director IBM

  • Keynote: The Light at the End of the Funnel

    11:00 am - 11:30 am
    Gain a Deeper Understanding of the Value of the Funnel
    • Ketan Gangatirkar VP Engineering Indeed

  • Believe in HumansAI: Together the Possibilities are Exponential

    11:30 am - 12:00 pm
    There is no shortage of use cases and technology to help organizations deliver on their AI vision. The question is how do you get started, how do you manage the complexity and more importantly move from an AI experiment to a deployed AI application.
    • Steve Holder National Strategy Executive, Analytics Ecosystems SAS

  • Lunch Break

    12:00 pm - 1:00 pm
    Lunch Break
  • The Art and Science of Data

    1:00 pm - 1:30 pm
    Learn how to effectively implement data that allows you to create meaningful connections and powerful Relationship Moments® that drive measurable action.
    • Canada Post

    • Scott Pinkney VP, ECD Publicis Hawkeye

    • Vish Ramkissoon VP, Decision Science Publicis Hawkeye

  • The Intelligence needed for Autonomous Sidewalk Robots

    1:30 pm - 2:00 pm
    • Zhenyu Guo Director of AI Postmates X

  • The Future of Security

    2:00 pm - 2:30 pm
    The Future of Security thought leadership study will focus on the privacy sector, from the top security barriers consumers face, to the boundaries and tradeoffs they’re willing to make to maintain their privacy, to how companies can become part of the solution.
    • Kobi Gulersen Vice President B2B & Product Marketing Mastercard Canada

  • Toward Human-Centered Machine Learning

    2:30 pm - 3:00 pm
    This presentation illustrates how to combine innovations from several sub-disciplines of machine learning research to train explainable, fair, trustable, and accurate predictive modeling systems.
    • Patrick Hall Senior Director for Data Science Products H20.ai

  • The Rise of the Digital Twin

    3:00 pm - 3:30 pm
    • Russell Irving Chief Engineer & Digital Twin General Manager, Retired GE Research

  • Networking Break

    3:30 pm - 4:00 pm
    Networking Break
  • Building Flexible and Scalable Data Architectures for Next Generation Analytics Platform

    4:00 pm - 4:30 pm
    • Paul Moxon VP Of Data Architectures | Chief Evangelist Denodo

  • Immersive Experience

    4:30 pm - 5:00 pm
    VR, AR, MR..Changing the way we perceive the digital world
    • Dr. Suraj Kapa Director, AR/VR Innovation Mayo Clinic

  • Seizing the AI opportunity through purposeful disruption

    5:00 pm - 5:30 pm
    First, we will explore Deloitte’s multi-part research series on AI which outlines the key challenges and opportunities, then we take a look at the unique story of Omnia AI, Deloitte Canada’s AI practice, as an example of purposeful disruption and the types of bold bets required to cease the AI opportunity.
    • Alex Grbic Chief Technology Officer Omnia AI, Deloitte's Artificial Intelligence Practice

  • Cocktail Reception

    5:30 pm - 7:00 pm
    Cocktail Reception


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